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ExtremeBDS [4]
2 years ago
5

Which is more 7/10 or $0.75?

Mathematics
2 answers:
SSSSS [86.1K]2 years ago
7 0

Answer:

I think $0.75

Step-by-step explanation:

$0.75 because 7/10 is 0.7

mixas84 [53]2 years ago
4 0
Both are equal I think
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Find the slope of a line that passes through (-2,1) and (4,9)
melamori03 [73]

Answer:

m = 4/3

Step-by-step explanation:

To find the slope of a line use the formula, where "m" means slope:

m=\frac{y_{2}-y_{1} }{x_{2}-x_{1} }

*You don't need to show this part on paper*

Choose which point you want to be point 1 and point 2. Remember the points are written (x, y).

Point 1: (-2, 1)       x₁ = -2  y₁ = 1

Point 2: (4, 9)      x₂ = 4   y₂ = 9

Substitute the coordinates into the formula:

*Show this part on paper*

m=\frac{y_{2}-y_{1} }{x_{2}-x_{1} }

m=\frac{9-1 }{4-(-2) }         Simplify

m=\frac{8 }{6 }                Reduce by dividing by 2

m=\frac{4 }{3 }               Slope

The slope of the line is 4/3

8 0
3 years ago
If you are in a great deal of debt but want to save for an emergency fund, you should
stepladder [879]
You should do the second one first
5 0
3 years ago
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1 7/8 divided by 3/4 can someone please help me
sesenic [268]
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2. Use KFC to divide fractions. KEEP the first term, FLIP the second and CHANGE to multiplication.

3. 15/8 x 4/3 = 60/24 = 2 1/2
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3 years ago
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Juan purchased three pounds of apples for $3.57. How much did Juan pay for each pound?
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3.57/3=1.19$ per pound
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3 years ago
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Suppose that 11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to
attashe74 [19]

Answer:

0.9726 = 97.26% approximate probability that X is at most 30

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to be scrapped).

This means that p = 0.11

Random sample of 200 shafts

This means that n = 200

Mean and Standard deviation:

\mu = E(x) = np = 200*0.11 = 22

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{200*0.11*0.89} = 4.42

(a) What is the (approximate) probability that X is at most 30

Using continuity correction, this is P(X \leq 30 + 0.5) = P(X \leq 30.5), which is the pvalue of Z when X = 30.5. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{30.5 - 22}{4.42}

Z = 1.92

Z = 1.92 has a pvalue of 0.9726.

0.9726 = 97.26% approximate probability that X is at most 30

8 0
3 years ago
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